A Sixth-Order Iterative Scheme Through Weighted Rational Approximations for Computing the Matrix Sign Function

This work introduces a sixth-order multi-step iterative algorithm for obtaining the matrix sign function of nonsingular matrices. The presented methodology employs optimized rational approximations combined with strategically formulated weight functions to achieve both computational efficiency and numerical precision. We present a convergence study that includes the analytical derivation of error terms, formally proving the sixth-order convergence characteristics. Numerical simulations substantiate the theoretical results and demonstrate the algorithm’s advantage over current state-of-the-art approaches in terms of both accuracy and computational performance.

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Publication Details

Journal
Mathematics
Published
2025-09-04
DOI
https://doi.org/10.3390/math13172849
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

A Sixth-Order Iterative Scheme Through Weighted Rational Approximations for Computing the Matrix Sign Function

Tao Liu, Wei Ren, Bo Zhao, Rihong Cao et al.
Mathematics
Matrix Theory and Algorithms
article

A Sixth-Order Iterative Scheme Through Weighted Rational Approximations for Computing the Matrix Sign Function

Tao Liu, Wei Ren, Bo Zhao, Rihong Cao, Ce Zhang
article en

Abstract

This work introduces a sixth-order multi-step iterative algorithm for obtaining the matrix sign function of nonsingular matrices. The presented methodology employs optimized rational approximations combined with strategically formulated weight functions to achieve both computational efficiency and numerical precision. We present a convergence study that includes the analytical derivation of error terms, formally proving the sixth-order convergence characteristics. Numerical simulations substantiate the theoretical results and demonstrate the algorithm’s advantage over current state-of-the-art approaches in terms of both accuracy and computational performance.

MathematicsVol. 13(17)
Changchun University (CN), Northeastern University (CN)
Division of Graduate Education
Openalex Percentile: Top 75%
Matrix Theory and Algorithms
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